AI/ML Engineer | LLMs & Multimodal AI | Python Backend & Data Systems
📬 Contact
Email: ishaan.bagul@ampcustech.com
Phone: +91-7875215866
GitHub: github.com/ishaan2692
LinkedIn: linkedin.com/in/ishaanbagul
I build AI and ML systems with end-to-end pipelines, from data ingestion and feature engineering to LLM fine-tuning, deployment, and backend integration. My work spans multimodal AI, RAG pipelines, and hybrid NLP-LLM solutions. I focus on writing clean, maintainable code and building scalable solutions that solve real-world problems.
Programming & ML/DL:
Python | PyTorch | TensorFlow | Keras | scikit-learn | XGBoost | LightGBM
AI & LLMs:
Large Language Models (LLMs) | Fine-tuning | PEFT | LoRA / QLoRA | Quantization (4-bit / 8-bit) | Retrieval-Augmented Generation | Embeddings | Semantic Search | Prompt Engineering
NLP & Multimodal AI:
Hybrid NLP-LLM Pipelines | NER | Text Classification | Document Understanding | OCR | Multimodal AI
Data & Analytics:
PySpark | ETL Pipelines | Apache Iceberg | Feature Engineering | Data Validation | PCA | Clustering (k-Means, DBSCAN, Hierarchical) | Model Evaluation & Hyperparameter Tuning
Web & Backend:
FastAPI | Django | Microservices Architecture | API Development | Docker | CI/CD | AWS (Bedrock, SageMaker, Lambda, Textract, S3)
Databases & Storage:
PostgreSQL | MongoDB | Vector Databases
- Building scalable ML/AI systems and pipelines
- Designing and fine-tuning large language models for production
- Creating robust backend infrastructure for AI applications
Motto: Learn fast, build responsibly, iterate relentlessly.